Název: Data Visualization for Supporting Linguists in the Analysis of Toxic Messages
Autoři: Kavaz, Ecem
Puig, Anna
Rodriguez, Inmaculada
Taule, Mariona
Nofre, Montserrat
Citace zdrojového dokumentu: WSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 59-70.
Datum vydání: 2021
Nakladatel: Václav Skala - UNION Agency
Typ dokumentu: conferenceObject
konferenční příspěvek
URI: http://hdl.handle.net/11025/45010
ISBN: 978-80-86943-34-3
ISSN: 2464-4617
2464–4625(CD/DVD)
Klíčová slova: vizualizace dat;anotace korpusu;toxicita;projevy nenávisti
Klíčová slova v dalším jazyce: data visualisation;corpus annotation;toxicity;hate speech
Abstrakt v dalším jazyce: The goal of this research is to provide linguists with visualisations for analysing the results of their hate speechannotation. These visualisations consist of a set of interactive graphs for analysing the global distribution ofannotated messages, finding relationships between features, and detecting inconsistencies in the annotation.We used a corpus that includes 1,262 comments posted in response to different Spanish online new articles.The comments were annotated with features such as sarcasm, mockery, insult, improper language, construc-tivity and argumentation, as well as with level of toxicity (’not-toxic’, ’mildly toxic’, ’toxic’ or ’very toxic’).We evaluated the selected visualisations with users to assess the graphs’ comprehensibility, interpretabilityand attractiveness. One of the lessons learned from the study is the usefulness of mixed visualisations that in-clude simple graphs (Bar, Heat map) - to facilitate the familiarisation with the results of the annotated corpustogether with more complex ones (Sankey, Spider or Chord) - to explore and identify relationships betweenfeatures and to find inconsistencies.
Práva: © Václav Skala - UNION Agency
Vyskytuje se v kolekcích:WSCG 2021: Full Papers Proceedings

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